{"id":"W3097729847","doi":"10.1002/admt.202000704","title":"Nanomechanical Gas Sensing with Laser Treated 2D Nanomaterials","year":2020,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Nanomaterials; Oxide; Molybdenum disulfide; Nanotechnology; Dopant; Boron nitride; Adsorption; Tungsten disulfide; Surface modification; Doping; Chemical engineering; Optoelectronics; Chemistry; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000882106,0.0003109521,0.0001263407,0.0001585057,0.0001084423,0.0001721924,0.0001817892,0.0003821509,0.0006904927],"category_scores_gemma":[0.0001286793,0.0001800759,0.000162446,0.00009023477,0.0001766761,0.0002262494,0.0001630957,0.0002196847,0.0001940867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661865,"about_ca_system_score_gemma":0.00009731825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140726,"about_ca_topic_score_gemma":0.0008948331,"domain_scores_codex":[0.9999102,0.000007105461,0.000005070452,0.00002547462,0.00003773842,0.00001424868],"domain_scores_gemma":[0.9999228,0.00001772376,0.0000261573,0.00001007369,0.00001690666,0.000006440338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005213293,0.00000320305,0.00004355032,0.000007273257,0.000001179123,0.000007675084,0.000004600346,0.0000530945,0.9995731,0.00001497248,0.00001288856,0.0002732916],"study_design_scores_gemma":[0.00000233994,0.00004893485,0.0005208272,7.69721e-7,0.000001630586,0.00001757846,0.00001045787,0.00110681,0.997896,0.00001089934,0.000380515,0.000003116963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956242,0.0002397644,0.003197126,0.00004757262,0.00003431642,0.000009821705,0.000105846,0.00006507046,0.000676307],"genre_scores_gemma":[0.9908716,0.0001388128,0.007774551,0.00004120628,0.000009564912,0.00002665066,0.0001105656,0.00001114094,0.001015862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006904927,"threshold_uncertainty_score":0.002656817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009277278663809592,"score_gpt":0.1862283308279173,"score_spread":0.1769510521641077,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}